System and method for network on chip construction through machine learning
US10313269B2 · kind B2 · utility
Inventor
Key dates
| Filing date | Dec 26, 2016 |
| Grant date | Jun 4, 2019 |
| Priority date | — |
| Expiry date | Aug 3, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L49/254
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In example implementations, the specification is processed to determine the characteristics of the NoC to be generated, the characteristics of the flow (e.g. number of hops, bandwidth requirements, type of flow such as request/response, etc.), flow mapping decision strategy (e.g., limit on number of new virtual channels to be constructed, using of existing VCs, yx/xy mapping), and desired strategy to be used for how the flows are to be mapped to the network. In such processing, the machine learning algorithm can provide a determination as to if a flow is acceptable or not in view of the specification (e.g., via a Q score). In example implementations, the machine learning decisions can be applied on a flow by flow basis, and can involve supervised learning and unsupervised learning algorithms.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.